Background: Human parainfluenza viruses type 3 (HPIV3) are a prominent
cause of respiratory infection with a significant impact in both pediatric and
transplant patient cohorts. Currently there is a paucity of whole genome
sequence data that would allow for detailed epidemiological and
phylogenetic analysis of circulating strains in the UK. Although it is known
that HPIV3 peaks annually in the UK, to date there are no whole genome
sequences of HPIV3 UK strains available.
Methods: Clinical strains were obtained from HPIV3 positive respiratory
patient samples collected between 2011 and 2015. These were then
amplified using a... More
Background: Human parainfluenza viruses type 3 (HPIV3) are a prominent
cause of respiratory infection with a significant impact in both pediatric and
transplant patient cohorts. Currently there is a paucity of whole genome
sequence data that would allow for detailed epidemiological and
phylogenetic analysis of circulating strains in the UK. Although it is known
that HPIV3 peaks annually in the UK, to date there are no whole genome
sequences of HPIV3 UK strains available.
Methods: Clinical strains were obtained from HPIV3 positive respiratory
patient samples collected between 2011 and 2015. These were then
amplified using an amplicon based method, sequenced on the Illumina
platform and assembled using a new robust bioinformatics pipeline.
Phylogenetic analysis was carried out in the context of other
epidemiological studies and whole genome sequence data currently
available with stringent exclusion of significantly culture-adapted strains of
HPIV3.
Results: In the current paper we have presented twenty full genome
sequences of UK circulating strains of HPIV3 and a detailed phylogenetic
analysis thereof. We have analysed the variability along the HPIV3 genome
and identified a short hypervariable region in the non-coding segment
between the M (matrix) and F (fusion) genes. The epidemiological
classifications obtained by using this region and whole genome data were
then compared and found to be identical.
Conclusions: The majority of HPIV3 strains were observed at different
geographical locations and with a wide temporal spread, reflecting the
global distribution of HPIV3. Consistent with previous data, a particular
subcluster or strain was not identified as specific to the UK, suggesting that
a number of genetically diverse strains circulate at any one time. A small
hypervariable region in the HPIV3 genome was identified and it was shown
that, in the absence of full genome data, this region could be used for
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Reviewer Status
Invited Reviewers
version 2
published
26 Nov 2018
version 1
published
19 Sep 2018
1 2
report
report report
Hirokazu Kimura, Gunma Paz University,
Gunma, Japan
Gunma Paz University, Gunma, Japan
1
Julian Wei-Tze Tang, University Hospitals of
Leicester NHS Trust, Leicester, UK
University of Leicester, Leicester, UK
2
First published: 19 Sep 2018, 3:118 (
https://doi.org/10.12688/wellcomeopenres.14730.1)
Latest published: 26 Nov 2018, 3:118 (
https://doi.org/10.12688/wellcomeopenres.14730.2)
v1
Page 1 of 19
Wellcome Open Research 2018, 3:118 Last updated: 23 MAY 2019
that, in the absence of full genome data, this region could be used for
epidemiological surveillance of HPIV3.